• Journal of Digital Convergence
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• v.18 no.8
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• pp.169-177
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• 2020

The purpose of this study is to forecast the sales of convenience store flagship products with nonlinear characteristics and time series characteristics. According to the results, the sales of 'Ice Cup' began to increase from March, reached the highest value in summer, especially July and August, and then decreased, revealing a seasonal pattern. Cigarettes showed a seasonal pattern of higher sales in summer and lower sales in winter and was predicted to decrease in sales in the future. This study provides an academic implication in that it focused on the top-selling products that affected an increase in financial performance in a specific convenience store, a method that has been hardly adopted by the existing studies.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.86-94
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• 2019

The purpose of this study was to analyzes the problems in terms of transmission the information of architecture in the current apartment housing sales phase, to suggest the way of application the technology of BIM-based virtual reality. For this purpose, each element technology is analyzed through analyzing the exiting studies and international technical trend of BIM-based virtual reality and motion recognition devices. And then this study analyze the present condition of apartment housing sales phase and it conduct the expert interviews for derive the problem and analyzing the importance and priority by AHP method. And finally, this study suggest the solution in terms of information delivery in apartment housing sales phase through plan for support and deriving the function about problems. The system of BIM-based virtual reality viewer that utilize a leap motion that was presented in this study, it is believed to be able to efficiently transfer the information of architecture as building information transmission system user-centric in the future of apartment housing sales phase.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.176-182
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• 2023

With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.91-110
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• 2011

This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.231-238
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• 2021

In this paper, we suggest a method of analysis for daily food delivery & consumption trends through big data of the post-Covid-19 era. Through analysis of big data and the database system, four analyzed factors, excluding weather, was proved to have significant correlation with delivery sales for 'Baedarui Minjok' of a catering delivery application. The research found that KBS, MBC and SBS Media showed remarkable results in food delivery & consumption sales soaring up to about 60 percent increase on the day after the Covid-19 related new article was issued. In addition, it proved that mobile media and web surfing were the main factors in increasing sales of food delivery & consumption applications, suggesting that viral marketing and emotional analysis by crawling data from SNS used by Millennials might be an important factor in sales growth. It can contribute the companies in the economic recession era to survive by providing the method for analyzing the big data and increasing their sales.

• Journal of Distribution Science
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• v.14 no.12
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• pp.141-151
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• 2016

Purpose - Salesperson perceptions of the fairness and accuracy of a performance evaluation system were examined by managerial and professional employees of large organization. The performance evaluation process is central to many personal decisions such as attitude for job and sales performance. This study investigates the relationship between perceived evaluation fairness, job satisfaction, organizational commitment, and sales performance. The main purpose of this study is to develop and empirically test a comprehensive model of salespersons' perceived evaluation fairness on sales performance. For this purpose, we identified the structural relationship between perceived evaluation fairness, job satisfaction, organizational commitment, and sales performance. Also we investigate the mediating effects on job satisfaction and organizational commitment between perceived evaluation fairness and sales performance. Research design, data, and methodology - To empirically test these relationships, data were collected by in-depth interviews from sales managers and questionnaire surveys from 300 salespersons who work for sales area (credit card company, insurance company). Demographically, the overall sample was 91.6% female, 77.9% 30s and 40s, and 34% college educated, with an average tenure with their present organizations of 4 years. The questionnaire was composed of total 20 items dealing with frequency, quality, and consequences of perceived evaluation fairness, job satisfaction, organizational commitment, and sales performance. To test the research hypotheses, collected data analyzed by confirmatory factor analysis (CFA) and structure equation model (SEM). Results - Through extensive and rigorous literature review process of related literature(Perceived evaluation fairness, Job satisfaction, Organizational commitment, Sales performance), research model and research hypothesis was set up. This study obtains the following research results. First, perceived evaluation fairness has a positive effect on job satisfaction, whereas the effects of perceived evaluation fairness on organizational commitment and sales performance did not show statistically significant result. Second, job satisfaction and organizational commitment have complete mediating roles to the relationship between perceived evaluation fairness and organizational commitment, and relationship between perceived evaluation fairness and sales performance. Conclusions - Based on the results, salespersons' perceived evaluation fairness is one of the key independent variable for making high job satisfaction, organizational commitment, and sales performance. Finally the theoretical, managerial implication and research limitations are mentioned in the discussion.

• Journal of Distribution Science
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• v.13 no.3
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• pp.51-60
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• 2015

Purpose - Among potential marketing strategies, the most efficient method to encourage purchase intention is through sales promotions. Sales promotions also serve to enhance customer satisfaction, which is closely related to the incidence of repurchases. Therefore, the success of retail stores greatly depends on the effectiveness of their promotional activities. The present study aimed to obtain the necessary information for apparel stores to establish more effective promotional activities. To this end, the study's specific research questions were to examine 1) consumer satisfaction with the recent sales promotions of retail apparel stores, 2) the levels of consumer preferences for different types of sales promotions (cash discounts, promotional gifts, prize drawings, discount coupons, stamp cards, or mileage cards), and 3) the differences in purchase intention according to preference levels for different types of sales promotions. Research design, data, and methodology - The research employed a descriptive survey method using a self-administered questionnaire. The sample consisted of 700 men (n=234) and women (n=466) ranging in age from their 20s to their 50s and residing in the Seoul area. Data were analyzed through methods including factor analysis as well as Cronbach's α coefficients, the t-test, ANOVA, and the Duncan test. Results - Differences among consumer preferences were identified for each type of sales promotion according to the purchase amount and the customer's age. In relation to purchase amounts below 500,000 won, participants in their 50s have lower preferences for price discounts than those in their 20s or 30s, whereas participants in their 40s or 50s have lower preferences for stamp cards and mileage cards than those in their 20s. When the purchase amount is greater than 500,000 won, housewives have higher preferences for promotional gifts than respondents with other occupations. However, no gender differences were found with regard to preference levels for the different types of sales promotions. Respondents generally exhibited mediocre satisfaction with the sales promotion events of retail apparel stores. They also expressed negative opinions about sales promotions when such promotions lead to high prices, as well as dissatisfaction with the poor quality of promotional gifts. It was also found that, regardless of the purchase amount, the groups with higher preferences for discount coupons and mileage cards displayed higher purchase intentions. Only when the purchase amount is greater than 200,000 won did the group with higher preferences for lottery system promotional gifts express higher purchase intentions. On the other hand, for all purchase amount sizes, there were no differences in purchase intentions according to preferences for cash discounts, promotional gifts, or stamp cards. Conclusions - The results revealed that greater effort must be devoted to enhancing consumers' satisfaction levels with the promotional activities performed by apparel retail stores. The results also showed that it is necessary to differentiate among sales promotion strategies according to preference levels for different types of sales promotions, purchase amounts, and target consumer ages.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.17
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• pp.71-91
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• 2002

The purpose of this paper is to examine the viewpoints of the different legal systems for the validity of LD Clause and the possibility of gap-filling function of UNIDROIT Principles in International Sales Contract. The results of comparative study between common law system and civil law system, and between CISG and UNCDROIT Principles is as follows: First, common law system distinguishes LD Clause and Penalty Clause, but civil law system including Korean law does not strictly distinguish the difference between them, provided that the liquidated damages are not grossly excessive. Second, CISG does not concerned with the validity of LD Clause but entrust this matter to the law applicable by virtue of the rules of private international law; conversely the Principles follow similar position of civil law system. The possibility of gap-filling of the Principles is more positive in the case of arbitration than in the case of litigation. On the basis of above study, I also checked the LD Clauses of ICC Model International Sales and the Model Contracts of Korean Commercial Arbitration Board. The LD Clauses of there two Model Contract seem very appropriate and reasonable for the reference in practical application. The appropriate, not excessive, LD Clause will contribute not only to eliminate the burden of proof for the actual damages, but also to enforce both parties to perform their obligations in their contracts. Therefore, When we make contract, we should keep in our mind to insert the reasonable and appropriate LD Clause in the sales contract. If not, so to speak, litigated damages are grossly excessive, the Clause may be invalid in some legal system.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

• Journal of the Korean Society of Costume
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• v.44
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• pp.168-179
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• 1999

In order to settle down structural causes of the process of distribution and apparel production in domestic fashion industry, and to raise competitive power with changing market environment, we need to bulid up Quick Response(QR) system based on information technology such as EDI(Electronic Data Interchange), KAN(Korea Article Number), and POS(Point of Sales), POS is the most valuable information tool to promote QR system paractically. The purpose of this study was to investigate motivation of POS adoption, problems in operating the system, and satisfaction on POS effects. Data were collected by sending questionnaire to the managers in apparel firms which were using POS. Statistical devices were t-test, frequency with SAS program. The results fo the study were as follows: 1. The degree of satisfaction to POS effects was rather good. Especially, rapid evaluations on new products gave the greatest satisfaction to the users. 2. Satisfaction degree of POS effects according to introduces time and organization characteristic(number of employees) have no significant difference, but the firms which have higher annual sales volume showed higher satisfaction degree. Merchandise department showed higher satisfaction on POS effects. 3. The motivation of POS adoption was an effective logistics control with consumer information as a marketing strategy. The problems in operating the system were lack of investment, and professionals. They almost didn't have KAN code, instead, have their own code system.